Lead Data Scientist

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $151k - $323k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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GoodRx

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

💼 Consulting

🛡️ Insurance

📦 Logistics

💰 $100M Private Equity Round on 2020-09

Consulting • Insurance • Logistics

GoodRx is a company that helps consumers in the United States save money on their prescription medications. They provide a platform that allows users to compare drug prices and find the lowest costs at pharmacies in their area. GoodRx aims to make prescription medications more affordable for individuals by offering discounts and coupons.

📋 Description

• Lead complex data science initiatives across audience decisioning, marketing decision science, pharma direct measurement, and employer direct analytics • Derive insights from large, complex datasets to understand user identity and the customer journey • Build audience selection, segmentation, propensity, and lookalike models across marketing and content channels • Partner with marketing and content decision science teams on content generation, channel optimization, attribution, and incrementality measurement • Develop measurement and modeling capabilities for pharma direct partners, including prescription lift, audience targeting, and campaign effectiveness • Support employer direct initiatives with member engagement, utilization, and adoption modeling • Refine attribution and identity capabilities using NLP techniques to improve data quality • Build predictive models across classification, regression, and disambiguation problems, owning the lifecycle from framing through monitoring and retraining • Lead experimentation strategy, including A/B testing, causal inference, and measurement frameworks • Define and drive the technical roadmap for decision science capabilities • Provide technical leadership and mentorship to data scientists • Improve data consistency, cleanliness, tooling, documentation, standards, model governance, reproducibility, and responsible AI practices

🎯 Requirements

• 8+ years of experience in data science, machine learning, operations research, or a related quantitative field • Track record of delivering measurable business impact through productionized solutions • Experience in audience modeling, marketing analytics, attribution, or identity resolution strongly preferred • Proven technical leadership and ability to influence business strategy • An undergraduate degree or equivalent practical experience in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Operations Research, or Data Science • Deep understanding of machine learning, statistical modeling, optimization, causal inference, forecasting, experimentation, and predictive analytics • Expertise in Python and common data science libraries such as pandas, NumPy, scikit-learn, PySpark, TensorFlow, or PyTorch • Strong working knowledge of databases and distributed data systems such as Redshift, PostgreSQL, and Spark/EMR • Experience with cloud platforms such as AWS, GCP, or Azure and modern data platforms such as Databricks • Experience deploying, monitoring, and operationalizing machine learning models using MLOps practices, experimentation platforms, feature stores, and model monitoring • Experience evaluating and applying AI/ML solutions, including generative AI and LLM technologies • Ability to thrive in a fast-paced, high-change environment • Strong communication skills and ability to translate technical findings into actionable recommendations • Collaborative, self-starting mindset • Nice-to-have: prescription, pharmacy, healthcare, marketing analytics, recommendation systems, reinforcement learning, optimization engines, advanced degree, patents, publications, open-source projects, or industry thought leadership

🏖️ Benefits

• Annual cash bonuses or commission • Annual equity grants for most positions • Medical, dental, and vision insurance • 401(k) with a company match • Employee Stock Purchase Plan (ESPP) • Unlimited vacation • 13 paid holidays • 72 hours of sick leave • Mental wellness programs • Financial wellness programs • Fertility benefits • Generous parental leave • Pet insurance • Supplemental life insurance for you and your dependents • Company-paid short-term and long-term disability • Reasonable accommodations for candidates with disabilities